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How To Test Tool Calling Accuracy In Ai Agents

Source
openrouter.ai
Author
OpenRouter editorial sitemap
Date

Context

An can call the correct tool and still act on the wrong order. OpenRouter illustrates this with an order identifier that passes a format check but differs from the identifier the user requested. Its testing guide separates choosing the tool, validating the argument structure, and checking the argument values. For a refund workflow, may also need to verify that eligibility was checked before money was returned. These checks reveal different failures that a single measure of whether the agent called a tool would conceal.

Terms in this piece · Glossary
  • AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
  • eval — A repeatable test for AI quality — a set of tasks plus scoring — used the way software teams use test suites, because model output is too variable to judge by eyeballing.
  • tool use — A model's ability to call external functions — run code, search the web, edit files — instead of only generating text.
  • LLM — A large language model — the neural network behind tools like Claude and ChatGPT, trained on huge amounts of text to predict what comes next.
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